scholarly journals Dynamic Modeling for Product Family Evolution Combined with Artificial Neural Network Based Forecasting Model: A Study of iPhone Evolution

2021 ◽  
Author(s):  
Sumana Biswas ◽  
Ismail Ali ◽  
Ripon Chakrabortty ◽  
Hasan Hüseyin Turan ◽  
Sondoss Elsawah ◽  
...  
Keyword(s):  
Research Work ◽  
Product Family ◽  
Critical Issue ◽  
Business Success ◽  
Forecasting Model ◽  
Market Demand ◽  
Proposed Model ◽  
Simulation Results ◽  
Proper Estimation

<div>Products continuously evolve over time. Realizing the pattern of product family evolution along with proper estimation of features for future products has been regarded as a critical issue for business success. Focusing on this issue, a dynamic model for product family evolution combined with forecasting is proposed in this research work. The proposed model considers the influence of market demand, customer needs and technological requirements that are time-dependent. The methodology is a four-phase model. For each phase, the effectiveness of the developed approach is demonstrated with numerical simulation results and validated with a case study of Apple’s iPhone product family.</div>

scholarly journals Dynamic Modeling for Product Family Evolution Combined with Artificial Neural Network Based Forecasting Model: A Study of iPhone Evolution

2021 ◽  
Author(s):  
Sumana Biswas ◽  
Ismail Ali ◽  
Ripon Chakrabortty ◽  
Hasan Hüseyin Turan ◽  
Sondoss Elsawah ◽  
...  
Keyword(s):  
Research Work ◽  
Product Family ◽  
Critical Issue ◽  
Business Success ◽  
Forecasting Model ◽  
Market Demand ◽  
Proposed Model ◽  
Simulation Results ◽  
Proper Estimation

<div>Products continuously evolve over time. Realizing the pattern of product family evolution along with proper estimation of features for future products has been regarded as a critical issue for business success. Focusing on this issue, a dynamic model for product family evolution combined with forecasting is proposed in this research work. The proposed model considers the influence of market demand, customer needs and technological requirements that are time-dependent. The methodology is a four-phase model. For each phase, the effectiveness of the developed approach is demonstrated with numerical simulation results and validated with a case study of Apple’s iPhone product family.</div>

A Network Based Dynamic Model for Product Family Evolution

2014 ◽  
Author(s):  
Kijung Park ◽  
Gül E. Okudan Kremer
Keyword(s):  
Dynamic Model ◽  
Structural Changes ◽  
Product Family ◽  
Critical Issue ◽  
Business Success ◽  
Customer Needs ◽  
Proposed Model ◽  
Proper Estimation ◽  
Structural Architecture ◽  
Over Time

Products evolve over time to follow new customer needs and technologies. Although the proper estimation of future products has been regarded as a critical issue for business success, it has not been widely discussed in an analytical way. Focusing on the evolution of a product family, this paper aims to develop a dynamic model which can effectively show the structural changes of a product family over time. The proposed model is based on a network representing the structural architecture of a product family. This model employs the concept of Fitness Model [1], where nodes in a certain system have their own fitness values to represent the degree of gaining edges with new nodes. The dynamic model proposed in this paper would be a basis for the estimation of product family evolution; it is potentially effective to simulate possible future structures of a product family according to different platform leveraging strategies.

scholarly journals ENHANCED ONLINE BOOK STORE MODEL: ADOPTING THE PROGRESSIVE WEB APPLICATION (PWA) TECHNOLOGY

2020 ◽  
Vol 9 (9) ◽  
pp. 1-8
Keyword(s):  
Web Application ◽  
Web Applications ◽  
Research Work ◽  
Business Owners ◽  
Proposed Model ◽  
Book Store ◽  
Architectural Framework ◽  
Mobile Development ◽  
Online Book

From the physical book store to the online bookstore, business owners find a way to meet the demands of their prospective customers. The daily advancement in technology has brought about a huge change the operation of e-commerce. The development of the Progressive Web Applications (PWA) by Google has caused a revolution in mobile development. Using an online bookstore as a case study, this research work presents a PWA architectural framework that can be adopted by any e-commerce applications. This was achieved after a systematic review of existing online bookstore models was carried out – identifying the gaps which will serve as strengths for the proposed model. Also, the emerging technology of PWA was critically reviewed to solidify the proposed model. Adoption of the model will avoid current issues faced the world of mobile development especially code fragmentation. However, exploring the payment gateways and modules will help solidify the model.

Data-Driven Inventory Management in the Healthcare Supply Chain

2020 ◽  
pp. 1390-1403
Author(s):  
Shuojiang Xu ◽  
Kim Hua Tan
Keyword(s):  
Big Data ◽  
Supply Chain ◽  
Inventory Management ◽  
Data Driven ◽  
Forecasting Model ◽  
Market Demand ◽  
Improved Model ◽  
Future Work ◽  
Statistic Approach

From 21st century, enterprises combine supply chain management with big data to improve their products and services level. In China healthcare industry, supply chain decisions are made based on experience, due to the environment complexities, such as changing policies and license delay. A flexible and dynamic big data driven analysis approach for supply chain decisions is urgently required. This report demonstrates a case study on CRT forecasting model of inventory data to predict the market demand based on pervious transaction data. First a basic statistic approach has been applied to represent the superficial patterns and suggest some decisions. After that a CRT model has been built based on the several independent variables. And there is also a comparison between CRT and CHAID models to choose a better one to further build an improved model. Finally some limitations and future work have been proposed.

scholarly journals Evolution Balancing of the Small-Sized Wheel Loader Assembly Line

2015 ◽  
Vol 2015 ◽  
pp. 1-11
Author(s):  
Rongshen Lai ◽  
Liang Hou ◽  
Yongming Wu
Keyword(s):  
Production Efficiency ◽  
Assembly Line ◽  
Assembly Line Balancing ◽  
Product Family ◽  
Adjustment Costs ◽  
Market Demand ◽  
Improved Genetic Algorithm ◽  
Wheel Loader

Assembly line balancing not only directly determines production efficiency but also influences precision and quality of key assemblies or even the overall performance of final products. Driven by market demand and development of science and technology, product family must evolve constantly, which necessitates frequent adjustment and rebalancing of product family assembly line (PFAL). In order to maintain production efficiency, improve assembly quality and precision, and reduce costs for adjustment, the evolution balancing problem of PFAL for small-sized wheel loader is solved in this paper. Firstly, the evolution balancing model of PFAL is put forward. Then, with minimizing the number of workstations, the in-station and between-station load indexes and adjustment costs, and maximizing relevancy between activities as optimization objectives, meanwhile regarding product platform planning, modularity design and the critical chain technology in concurrent engineering as constraint conditions, the evolution balancing problem of PFAL is optimized using improved genetic algorithm (IGA). Finally, the whole analysis procedure is demonstrated by the small-sized wheel loader PFAL case study and the effectiveness of the proposed method is verified.

Prediction Research of Highway Traveling Passenger Volume Based on Wavelet Neural Network

2013 ◽  
Vol 401-403 ◽  
pp. 1401-1405
Author(s):  
Ting Gui Li ◽  
Li Wang
Keyword(s):  
Neural Network ◽  
Prediction Model ◽  
Neural Network Model ◽  
Bp Neural Network ◽  
Wavelet Neural Network ◽  
Proposed Model ◽  
Passenger Volume ◽  
Simulation Results ◽  
Bp Neural Network Model

Aiming at the problem that it is difficult to predict the highway traveling passenger volume (HTPV), a new prediction model of HTPV based on wavelet neural network (WNN) is proposed. A case study is given to verify the proposed model. The simulation results show that the WNN model has higher convergence speed and prediction precision than the traditional BP neural network model (TBPNNM), and has more practical values.

scholarly journals Probabilistic reference model for hourly PV power generation forecasting

2020 ◽  
Vol 152 ◽  
pp. 01002
Author(s):  
L. Alfredo Fernandez-Jimenez ◽  
Sonia Terreros-Olarte ◽  
Alberto Falces ◽  
Pedro M. Lara-Santillan ◽  
Enrique Zorzano-Alba ◽  
...  
Keyword(s):  
Time Series ◽  
Reference Model ◽  
Power Production ◽  
Forecasting Model ◽  
Probabilistic Forecasting ◽  
Mean Power ◽  
Forecasting Models ◽  
Proposed Model ◽  
Probabilistic Forecasts

This paper presents a new probabilistic forecasting model of the hourly mean power production in a Photovoltaic (PV) plant. It uses the minimal information and it can provide probabilistic forecasts in the form of quantiles for the desired horizon, which ranges from the next hours to any day in the future. The proposed model only needs a time series of hourly mean power production in the PV plant, and it is intended to fill a gap in international literature where hardly any model has been proposed as a reference for comparison or benchmarking purposes with other probabilistic forecasting models. The performance of the proposed forecasting model is tested, in a case study, with the time series of hourly mean power production in a PV plant with 1.9 MW capacity. The results show an improvement with respect to the reference probabilistic PV power forecasting models reported in the literature.

Universal Product Family Design Valuation in an Uncertain Market Environment

2010 ◽  
Author(s):  
Seung Ki Moon ◽  
Daniel A. McAdams
Keyword(s):  
Mass Customization ◽  
Universal Design ◽  
Product Family ◽  
Product Family Design ◽  
Design Strategies ◽  
Financial Model ◽  
Proposed Model ◽  
Perform Sensitivity Analysis ◽  
Market Trends

Strategic adaptability is essential in capitalizing on future investment opportunities and responding properly to market trends in an uncertain environment. Customized products or services are an important source of revenue for many companies, particularly those working with in a mass customization environment where customer satisfaction is of paramount important. In this paper, we extend methods from mass customization and product family design to create specific methods for universal product family design. The objective of this research is to propose a valuation financial model to facilitate universal design strategies that will maximize the expected profit under uncertain constrains. Real options analysis is applied to estimate the valuation of options related to introducing new modules as a platform in a universal product family. We use customers’ preferences based on performance utilities for universal design to reflect demand and demographic trends. To demonstrate implementation of the proposed model, we use a case study involving a family of light-duty trucks. We perform sensitivity analysis to investigate the behavior of the estimated option value against chaining system parameters.

scholarly journals System Dynamics Modelling of Remanufacturing and Recycling Mode Based on Closed-Loop Across-Chain Competition

2017 ◽  
Vol 2017 ◽  
pp. 1-12 ◽  
Author(s):  
Shidi Miao ◽  
Deyun Chen ◽  
Tengfei Wang
Keyword(s):  
Supply Chain ◽  
Closed Loop ◽  
Third Party ◽  
Total Revenue ◽  
Proposed Model ◽  
Dynamics Modelling ◽  
Simulation Results ◽  
The Impact

To face the reality of resources exhaustion, the significance of recycling and remanufacturing in the closed-loop chain has become quite evident. This paper constructs a competitive recycling and remanufacturing model of the closed-loop supply chain through a case study of Midea Corp. and Gree Corp. and explores the impact of two recycling modes on total revenue of the supply chain and market share. The simulation results show that the total revenue of the supply chain will benefit from the increasing coverage points by the third party and the increasing environmental awareness of certain regions. The retailers show more enthusiasm of recycling through certain amendment of the contract between manufacturers and retailers. The time of payment could be shortened in closed loop. Moreover, the improvement of recycling mechanism of the retailers can enlarge the share of supply chain market. Guiding role of the proposed model and the simulation results played in establishing a better supply chain mode is presented.

Flexible Product Platforms: Framework and Case Study

2006 ◽  
Author(s):  
Olivier L. de Weck ◽  
Eun Suk Suh
Keyword(s):  
Product Family ◽  
Change Propagation ◽  
Market Uncertainty ◽  
Product Platforms ◽  
Automotive Body ◽  
Switch Costs ◽  
Body In White ◽  
Simulation Results ◽  
Uncertain Variant

Customization and market uncertainty require increased functional and physical bandwidth in product platforms. This paper presents a platform design process in response to such future uncertainty. The process consists of seven iterative steps and is applied to an automotive body-in-white (BIW) where 10 out of 21 components are identified as potential candidates for embedding flexibility. The method shows how to systematically pinpoint and value flexible elements in platforms. This allows increased product family profit despite uncertain variant demand and specification changes. We show how embedding flexibility suppresses change propagation and lowers switch costs, despite an increase of 34% in initial investment for equipment and tooling. Monte Carlo simulation results for 12 future scenarios reveal the value of embedding flexibility.

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